activity
20152024
most citedAccelerating inverse crystal structure prediction by machine learning: a case study of carbon allotropes

26 citations · 27 across the 6 of their papers we have counts for

collaborators

8 papers

cond-mat.supr-con2024

First-Principles Study of High-Temperature Superconductivity in X2MH6 Compounds under 20 GPa

Jing Luo, Qun Wei, Xiaofei Jia +2

Research on high-temperature superconductors has primarily focused on hydrogen-rich compounds, however, the need for extreme pressures limits their practical applications. The X2MH…

cond-mat.mtrl-sci20241 cited

Determination of crystal structure and physical properties of Ru2Al5 intermetallic from first-principles calculations

Jing Luo, Meiguang Zhang, Xiaofei Jia +2

Novel ordered intermetallic compounds have stimulated much interest. Ru-Al alloys are a prominent class of high-temperature structural materials, but the experimentally reported cr…

quant-ph2024

Optimal Quantum State Tomography via Weak Value

Xuanmin Zhu, Dezheng Zhang, Runping Gao +3

To improve the efficiency of the state tomography strategy via weak value, we have searched the optimal coupling strength between the system and measuring device. For an arbitrary…

quant-ph2023

Degenerate perturbation theory to quantum search

Dezheng Zhang, Xuanmin Zhu, Yuanchun Deng +3

We utilize degenerate perturbation theory to investigate continuous-time quantum search on second-order truncated simplex lattices. In this work, we show that the construction of t…

cond-mat.mtrl-sci202026 cited

Accelerating inverse crystal structure prediction by machine learning: a case study of carbon allotropes

Wen Tong, Qun Wei, Haiyan Yan +2

Based on structure prediction method, the machine learning method is used instead of the density function theory (DFT) method to predict the material properties, thereby accelerati…

quant-ph2019

Hybrid direct state tomography by weak value

Xuanmin Zhu, Qun Wei, Lixia Liu +1

Compared with the conventional quantum state tomography (QST), the direct state tomography (DST) using weak value is easily manipulated in experiments. However, the efficiency of t…